StockBench: Can LLM Agents Trade Stocks Profitably In Real-world Markets?
Paper
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2510.02209
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Published
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55
QuantAgents
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MM-DREX: Multimodal-Driven Dynamic Routing of LLM Experts for Financial Trading
Paper • 2509.05080 • Published -
TradingGroup: A Multi-Agent Trading System with Self-Reflection and Data-Synthesis
Paper • 2508.17565 • Published -
QTMRL: An Agent for Quantitative Trading Decision-Making Based on Multi-Indicator Guided Reinforcement Learning
Paper • 2508.20467 • Published -
AlphaAgents: Large Language Model based Multi-Agents for Equity Portfolio Constructions
Paper • 2508.11152 • Published -
Adaptive Alpha Weighting with PPO: Enhancing Prompt-Based LLM-Generated Alphas in Quant Trading
Paper • 2509.01393 • Published -
QuantAgent: Price-Driven Multi-Agent LLMs for High-Frequency Trading
Paper • 2509.09995 • Published • 16 -
Can LLMs Guide Their Own Exploration? Gradient-Guided Reinforcement Learning for LLM Reasoning
Paper • 2512.15687 • Published • 21 -
LongCat-Flash-Thinking-2601 Technical Report
Paper • 2601.16725 • Published • 175 -
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability
Paper • 2601.18778 • Published • 40 -
Self-Distillation Enables Continual Learning
Paper • 2601.19897 • Published • 26 -
Agentic Reasoning for Large Language Models
Paper • 2601.12538 • Published • 195